The standard normal distribution or the Gaussian distribution with mean 0 and variance 1.
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A "bell" shape.
The distributions can have any shape that you like.
The relationship between the mean and the median depends on the shape of the distribution. In a symmetric distribution, the mean and median are equal, so if the mean is 105, the median would also be 105. However, if the distribution is skewed, the median could be less than or greater than the mean. Without additional information about the distribution's shape, we cannot definitively determine the median.
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A skewed bell shape.
A "bell" shape.
the normal distribution is a bell shape and expeonential is rectangular
The distribution of the sample mean is bell-shaped or is a normal distribution.
The distribution described is a normal distribution. It is characterized by a symmetric bell-shaped curve where the mean, median, and mode are all equal and located at the center of the distribution.
The distributions can have any shape that you like.
skewed right.
symmetrical
A company is studying the number of daily debit card purchases. If there were 20 purchases and the probability of a debit card purchase is 0.5 What is the shape of this distribution
Rectangular
In a symmetric binomial distribution, the probabilities of success and failure are equal, resulting in a symmetric shape of the distribution. In a skewed binomial distribution, the probabilities of success and failure are not equal, leading to an asymmetric shape where the distribution is stretched towards one side.